Generative Engine Optimization — GEO — is the practice of structuring a website so AI-powered search engines like ChatGPT, Perplexity, Claude, and Google's AI Overviews cite it as a source when answering a user's question. It's the answer-engine cousin of SEO. The goal isn't to be a clicked link in a list of ten; the goal is to be the quoted passage at the top.
This is a real shift, but it's not the apocalypse the SEO industry is selling it as. For a small business, the work overlaps with good SEO more than it differs. The differences matter — but you don't need to hire a "GEO specialist" to do them.
How is GEO different from SEO?
SEO targets the ten blue links. The metric is rank: be in the top three, ideally position one. GEO targets the AI summary. The metric is citation: be one of the two or three sources the AI model names when it answers a query.
The mechanics overlap. Both reward clear, useful content. Both reward proper schema markup. Both reward a fast, accessible site. Both penalise spam. The differences are in emphasis. GEO weights passage-level clarity — a section that fully answers its own heading as a standalone unit — more heavily than SEO does. GEO weights brand mentions across the open web (Reddit threads, Hacker News, niche forums) more heavily because AI models train on that text. GEO weights llms.txt and structured data more heavily than meta tags.
How do AI engines decide who to cite?
Three signals do most of the work. First: passage-level quality. AI models cite specific passages, not whole pages. A section that opens with a literal, scannable definition — "X is Y" — is easier to lift than a section that buries the answer in paragraph three. Second: structured data. If your page tells a crawler "this is a Service, here's the price, here's the area served, here are the FAQs," the AI model knows what to cite. Third: brand mention signals from the open web. If your business comes up in a Reddit thread about "good agencies that don't charge monthly," that mention contributes to whether the model trusts you when it answers a similar query later.
A fourth signal matters less than people think: backlinks. AI models do use citation graphs, but the weight relative to passage quality and brand mentions is lower than it is in traditional SEO. Spending heavily on backlinks for GEO purposes is usually not the right investment for a small business.
What can a small business actually do about GEO?
Five things, ranked by leverage. First: write first-sentence definitions. For every page that answers a question, the very first sentence after the H1 should be a literal, standalone answer. AI models lift first sentences far more than fifth paragraphs. Second: add schema. Service, Offer, FAQPage, BreadcrumbList — the four that matter most for small business. If you don't know what these are, ask whoever built your site whether they're in place. Third: publish an llms.txt index file that links your owned-term pillar pages. AI crawlers that respect the convention pull a concatenated corpus from this file. Fourth: get mentioned, honestly, in places AI models read — Reddit, Hacker News, niche industry forums. Don't astroturf; just be useful in the threads where your industry lives. Fifth: keep your traditional SEO clean. Most GEO problems are SEO problems with a different label.
What should small businesses NOT bother with?
Two things. First: paying a "GEO specialist" who charges retainer-level pricing to do what is mostly disciplined SEO with extra schema. The category is real but the consulting market is still mostly people repackaging existing skills. Second: writing for the AI model specifically — keyword-stuffing your pages with "this is an answer to the question X" phrasing in a way that reads weird to humans. AI models are trained on human-written text. The bar is still "would a person trust this." Optimising harder against the algorithm than against the reader has always been a losing strategy. It still is.
If you want the term-level definitions in plain English, the glossary at /glossary covers GEO and AEO. If you want the dedicated breakdown of how Mule handles AI-search optimization at a small-business price point, the SEO services page at /cheap-seo-services walks through what's actually in scope.